Enhancing Accuracy in Breast Density Assessment Using Deep Learning: A Multicentric, Multi-Reader Study

The evaluation of mammographic breast density, a critical indicator of breast cancer risk, is traditionally performed by radiologists via visual inspection of mammography images, utilizing the Breast Imaging-Reporting and Data System (BI-RADS) breast density categories. However, this method is subje...

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Hlavní autoři:	Marek Biroš, Daniel Kvak, Jakub Dandár, Robert Hrubý, Eva Janů, Anora Atakhanova, Mugahed A. Al-antari
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-05-01
Edice:	Diagnostics
Témata:	BI-RADS breast density computer-aided diagnosis deep learning full-field digital mammography medical image processing
On-line přístup:	https://www.mdpi.com/2075-4418/14/11/1117
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